Information-theoretic abstractions for resource-constrained agents via mixed-integer linear programming.
Daniel T. LarssonDipankar MaityPanagiotis TsiotrasPublished in: CAADCPS@CPSIoTWeek (2021)
Keyphrases
- information theoretic
- resource constrained
- mixed integer linear programming
- mutual information
- information theory
- branch and bound algorithm
- multi agent systems
- resource constraints
- cutting plane
- wireless sensor networks
- sensor networks
- mixed integer
- mathematical programming
- production planning
- multipath
- machine learning
- image registration
- information theoretic measures
- sensor nodes
- embedded systems
- upper bound
- state space
- lower bound
- computational complexity
- optimal solution